Clinical trials: Deep Learning, open to volunteers
Aortic Stenosis
Deep Learning-enhanced Personalized Monitoring of Aortic Stenosis - The DETECT-AS Prognostic Study
This study will evaluate the validity of a digital biomarker score for precision risk stratification among older adults with aortic sclerosis or mild aortic stenosis (AS) at three US health systems.
- Trial name
- NCT06749132
- Testing
- Transthoracic echocardiogram
- Where
- 3 sites in United States
- Volunteers
- 210 people
- Sponsor
- Yale University
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Pancreatic Disease
Clinical Research on a Novel Deep-learning Based System in Pancreatic Endoscopic Ultrasound Scanning
The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in pancreatic ultrasound endoscopic scanning.The main questions it aims to answer are as follows: 1.The comparison…
- Trial name
- NCT05792267
- Testing
- artificial intelligence system
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- The Third Xiangya Hospital of Central South University
Parkinson's Disease
Kinematic and Neural Dynamics of Postural Instability in Parkinson's Disease
Balance problems and falls are among the most common complaints in Veterans with Parkinson's Disease (PD), but there are no effective treatments and the ability to measure balance and falls remains quite poor.
- Trial name
- NCT06405334
- Where
- United States
- Volunteers
- 100 people
- Sponsor
- VA Office of Research and Development
Cardiac Disease
The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
By enrolling patients who underwent cardiac MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group.
- Trial name
- NCT07274436
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Lian Yang
Dementia (Diagnosis), Alzheimer Dementia (AD)
Speech-Based Artificial Intelligence for Detection of Dementia in Danish Patients (DetectAI)
The goal of this observational study is to learn if an artificial intelligence (AI)-based speech analysis tool can identify which patients with memory problems need specialist evaluation at a memory clinic.
- Conditions
- Dementia (Diagnosis), Alzheimer Dementia (AD), Vascular Dementia (VaD), Lewy Body Dementia (LBD)
- Trial name
- DetectAI (NCT07200739)
- Testing
- Mini-mental State Examination, Addenbrooke's Cognitive Examination, Speech Task - Picture Description
- Where
- Denmark
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Zealand University Hospital
Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension
This study aims to validate the use of an artificial intelligence-enabled electrocardiogram (AI-ECG) to screen for elevated PAP.
- Conditions
- Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Hypertension, Pulmonary
- Trial name
- ADDPH (NCT07079592)
- Testing
- AI-ECG Guidance
- Where
- Taiwan
- Volunteers
- 8,666 people
- Sponsor
- National Defense Medical Center, Taiwan
Deep Learning, Ultrasound
Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study
This study aims to develop an ultrasound image-based deep learning system to enable automatic segmentation, T-staging, and pathological grading prediction of bladder tumors.
- Conditions
- Deep Learning, Ultrasound, Bladder Cancer
- Trial name
- BCA-AI-US (NCT07111364)
- Testing
- observational diagnostic model development
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Peking University First Hospital
Gastric Cancer (Diagnosis), Postoperative Complications
DeepComp for Prediction of Gastric Cancer Postoperative Complications (DeepComp-Prospective)
Gastric cancer is a leading cause of cancer-related mortality, and radical surgery remains the primary treatment. However, postoperative complications are common and can significantly impact patient recovery and quality of life.
- Trial name
- NCT07401173
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Qun Zhao
Neurodevelopmental Disorders, Attention Deficit Hyperactivity Disorder
Pai.ACT Programme for Parents of Children With Special Healthcare Needs - Phase I
This study aims to determine the feasibility, acceptability and potential efficacy of an individual, video-conferencing based Focused Acceptance and Commitment Therapy (FACT) on the mental well-being of parents of children with…
- Conditions
- Neurodevelopmental Disorders, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder, Development Delay
- Trial name
- NCT05584059
- Testing
- Focused Acceptance and Commitment Therapy
- Where
- 5 sites in Hong Kong
- Volunteers
- 150 people
- Sponsor
- Chinese University of Hong Kong
Sepsis, Organ Damage
Detection of Sepsis Occurrence by Using Blood Fluorescence
This study adopted a case-control study method to explore a reagent-free, highly sensitive, and frequently screened blood fluorescence metabolite analyzer for sepsis, which can detect the emergence of inflammatory free radicals…
- Trial name
- NCT06689189
- Testing
- Blood fluorescence metabolite analysis
- Where
- China
- Volunteers
- 800 people, healthy volunteers welcome
- Sponsor
- Ningbo Medical Center Lihuili Hospital
Colorectal Polyp, Colorectal Adenoma
Evaluation of a CAM System for Colorectal Polyp Size Measurement
Accurate polyp size measurements are essential for risk stratification, selection of polypectomy techniques, and surveillance interval assignments.
- Trial name
- CAM (NCT06715384)
- Testing
- Polyp size measurement using autonomous AI measurement or AI-assisted human measurement with the CAM system
- Where
- China
- Volunteers
- 168 people
- Sponsor
- Changhai Hospital
Data Collecting
Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method
The purpose of this study is to collect the macular OCT images and preoperative and postoperative visual acuity of cataract patients who had been operated in the eye center of the Second Affiliated Hospital of Zhejiang University…
- Trial name
- NCT04887909
- Where
- China
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Accuracy of Artificial Intelligence in Fixed Dental Prosthesis Design
Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis
This in vitro study aims to evaluate the accuracy of an Artificial Intelligence (AI)-based automatic design system for fixed dental prosthesis (FDP) compared with conventional computer-aided design (CAD) software.
- Trial name
- NCT07432165
- Testing
- Conventional CAD-Based Fixed Dental Prosthesis Design, Artificial Intelligence-Based Fixed Dental Prosthesis Design
- Where
- Egypt
- Volunteers
- 1,000 people
- Sponsor
- October University for Modern Sciences and Arts
Heart Failure, Cardiomyopathies
Validation of the Prognostic Impact of a Retinal Photograph-based Cardiovascular Disease Risk Stratification System in de Novo HFrEF
"Despite significant advances in pharmacologic and device-based therapies, heart failure (HF) remains a major public health burden, with persistently high rates of hospitalization, impaired quality of life, and excess…
- Conditions
- Heart Failure, Cardiomyopathies, Retinal Photograph, Deep Learning
- Trial name
- NCT06978998
- Where
- South Korea
- Volunteers
- 100 people
- Sponsor
- Yonsei University
Acute Cholecystitis
Diagnostic Value of Deep Learning-Based Rapid MRI in Preoperative Evaluation of Acute Cholecystitis
This is a single-center, prospective observational study at Peking Union Medical College Hospital. The main goal is to evaluate the image quality and clinical value of a new fast abdominopelvic MRI sequence that uses deep…
- Trial name
- NCT07551375
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Peking Union Medical College Hospital
Chronic Insomnia, Epilepsy
PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy
The objective of this study is to develop and validate deep learning algorithms for automated sleep stage and sub-stage classification using overnight polysomnography data.
- Conditions
- Chronic Insomnia, Epilepsy, Sleep Disorders
- Trial name
- PREDSomADICE (NCT07547501)
- Volunteers
- 1,500 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Cancer Screening, Oral Cancer
Application and Validation of a Smartphone-based Deep Learning System for Oral Potentially Malignant Disorders and Oral Cancer Screening
The goal of this clinical trial is to learn if smartphone-based deep learning system works to accurately detect oral potentially malignant disorders and oral cancer in adults.
- Conditions
- Cancer Screening, Oral Cancer, Oral Potentially Malignant Disorders
- Trial name
- NCT06862414
- Testing
- Smartphone-based deep learning system
- Where
- Taiwan
- Volunteers
- 954 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Hypothyroidism, Global Developmental Delay
Register for Patients With Thyroid Hormone Resistance.
Thyroid hormones (TH) play a pivotal role in the development and function of the mammalian brain. Patients with impaired thyroid hormone transport into the brain tissue or in the case of defective local thyroid hormone receptor…
- Conditions
- Hypothyroidism, Global Developmental Delay, Intellectual Disability, Dystonia
- Trial name
- DEEPTYPE (NCT06566066)
- Testing
- no intervention
- Where
- Germany
- Volunteers
- 200 people
- Sponsor
- Charite University, Berlin, Germany
C-shaped Root Canal
Deep Learning Framework for Classification, 3D Segmentation & Visualization of C-shaped Canals
The goal of this retrospective diagnostic accuracy study is to develop and validate a deep learning framework for the automated classification, three-dimensional (3D) segmentation, and visualization of C-shaped root canal anatomy…
- Trial name
- AI (NCT07697378)
- Volunteers
- 112 people
- Sponsor
- Cairo University